Source code for tensorlayer.files.dataset_loaders.celebA_dataset

#! /usr/bin/python
# -*- coding: utf-8 -*-

import os
import zipfile

from tensorlayer import logging
from tensorlayer.files.utils import (download_file_from_google_drive, exists_or_mkdir, load_file_list)

__all__ = ['load_celebA_dataset']

[docs]def load_celebA_dataset(path='data'): """Load CelebA dataset Return a list of image path. Parameters ----------- path : str The path that the data is downloaded to, defaults is ``data/celebA/``. """ data_dir = 'celebA' filename, drive_id = "", "0B7EVK8r0v71pZjFTYXZWM3FlRnM" save_path = os.path.join(path, filename) image_path = os.path.join(path, data_dir) if os.path.exists(image_path):'[*] {} already exists'.format(save_path)) else: exists_or_mkdir(path) download_file_from_google_drive(drive_id, save_path) zip_dir = '' with zipfile.ZipFile(save_path) as zf: zip_dir = zf.namelist()[0] zf.extractall(path) os.remove(save_path) os.rename(os.path.join(path, zip_dir), image_path) data_files = load_file_list(path=image_path, regx='\\.jpg', printable=False) for i, _v in enumerate(data_files): data_files[i] = os.path.join(image_path, data_files[i]) return data_files